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» Errors-in-variables methods in system identification
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EGICE
2006
13 years 9 months ago
Combining Two Data Mining Methods for System Identification
System identification is an abductive task which is affected by several kinds of modeling assumptions and measurement errors. Therefore, instead of optimizing values of parameters ...
Sandro Saitta, Benny Raphael, Ian F. C. Smith
AUTOMATICA
2005
89views more  AUTOMATICA 2005»
13 years 5 months ago
Instrumental variable methods for closed-loop system identification
In this paper, several instrumental variable (IV) and instrumental variable-related methods for closed-loop system identification are considered and set in an extended IV framewor...
Marion Gilson, Paul M. J. Van den Hof
TSP
2010
12 years 12 months ago
A continuous-time linear system identification method for slowly sampled data
Both direct and indirect methods exist for identifying continuous-time linear systems. A direct method estimates continuous-time input and output signals from their samples and the...
Damián Marelli, Minyue Fu
AUTOMATICA
2007
61views more  AUTOMATICA 2007»
13 years 5 months ago
Errors-in-variables methods in system identification
Abstract: The paper gives a survey of errors-in-variables methods in system identification. Background and motivation are given, and examples illustrate why the identification pr...
Torsten Söderström
ICASSP
2011
IEEE
12 years 9 months ago
Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification
In this paper, we propose an acceleration technique of the adaptive filtering scheme called adaptive proximal forward-backward splitting method. For accelerating the convergence ...
Masao Yamagishi, Masahiro Yukawa, Isao Yamada